Senior Scientist, Translational Computational Biology
Cambridge Crossing, United States
R
USD 148K-179K Senior-level Full Time
Tasks
- Analyze and integrate multimodal molecular and clinical datasets
- Analyze spatial transcriptomics and multiplex immunofluorescence
- Apply statistical inference and machine learning to real world patient data
- Build reproducible workflows and cloud ready pipelines
- Design and deploy AI approaches for evidence integration and hypothesis generation
- Develop biomarker strategy for patient selection and stratification
- Mentor junior scientists and document methods
- Perform IND enabling and early clinical trial interpretation
- Support indication prioritization and enrichment approaches
- Support target validation and candidate selection
- Translate patient-derived data into biomarker hypotheses
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Causal Inference | Cloud Computing | Cytokine profiling | Digital Pathology | Exome sequencing | Flow Cytometry | Genomics | Immunohistochemistry | Knowledge graphs | Language Models | Language Processing | Large Language Models | Liquid biopsy | Machine Learning | Multiplex immunofluorescence | Natural Language | Natural Language Processing | Network Analysis | Perturbation analysis | Proteomics | RNA Sequencing | Regulatory Network Analysis | Scalable analytics | Single-cell | Single-cell RNA-sequencing | Spatial transcriptomics | Statistical inference | TCR sequencing | Whole-exome sequencing | Workflow automation
Education
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